PAZOUREK, Jiří, Dagmar GAJDOŠOVÁ, Miroslava SPANILÁ, Marta FARKOVÁ, Klára NOVOTNÁ and Josef HAVEL. Analysis of polyphenols in wines: correlation between total polyphenolic content and antioxidant potential from photometric measurements. Prediction of cultivars and vintage from capillary zone electrophoresis fingerprints using artificial neural network. Journal of Chromatography A. Elsevier B.V., 2005, vol. 1081, No 1, p. 48-54. ISSN 0021-9673.
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Basic information
Original name Analysis of polyphenols in wines: correlation between total polyphenolic content and antioxidant potential from photometric measurements. Prediction of cultivars and vintage from capillary zone electrophoresis fingerprints using artificial neural network
Name in Czech Analysis of polyphenols in wines: correlation between total polyphenolic content and antioxidant potential from photometric measurements. Prediction of cultivars and vintage from capillary zone electrophoresis fingerprints using artificial neural network
Authors PAZOUREK, Jiří (203 Czech Republic), Dagmar GAJDOŠOVÁ (203 Czech Republic), Miroslava SPANILÁ (203 Czech Republic), Marta FARKOVÁ (203 Czech Republic), Klára NOVOTNÁ (203 Czech Republic) and Josef HAVEL (203 Czech Republic, guarantor).
Edition Journal of Chromatography A, Elsevier B.V. 2005, 0021-9673.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 10406 Analytical chemistry
Country of publisher Netherlands
Confidentiality degree is not subject to a state or trade secret
Impact factor Impact factor: 3.096
RIV identification code RIV/00216224:14310/05:00013615
Organization unit Faculty of Science
UT WoS 000230319800009
Keywords in English capillary electrophoresis; wine; artificial neural networks; solid phase extraction
Tags artificial neural networks, Capillary electrophoresis, Solid Phase Extraction, Wine
Tags International impact, Reviewed
Changed by Changed by: RNDr. Marta Farková, CSc., učo 546. Changed: 25/2/2013 12:31.
Abstract
The polyphenols (some of them are also called phytoalexins, flavonols, flavanons, flavanonols, flavons, flavanols, and anthocyanines) are usually marked as potent antioxidants or radical scavengers which assist the body cells against oxidation. Polyphenols in wine are also considered to explain so called French paradox (long life aging and low number of coronary diseases despite of high alcohol and fat consumption). The total polyphenolic content (TPC) and total antioxidant potential (TAP) were determined by photometry and found strongly correlated. This finding suggests that the determination of TAP can be replaced by a more simple procedure of TPC determination. Capillary zone electrophoresis (CZE) with preconcentration by solid phase extraction (SPE) was applied for some polyphenols determination and for obtaining electropherograms of the SPE extracts (fingerprints). From mathematical evaluation of the fingerprints, prediction of cultivars and vintage using artificial neural networks (ANN) was done with more than 90 % correct prediction. The study was performed on a set of 47 samples of young wines (vintage 1999-2002) from south Moravia (Czech Republic) and New South Wales (Australia).
Abstract (in Czech)
The polyphenols (some of them are also called phytoalexins, flavonols, flavanons, flavanonols, flavons, flavanols, and anthocyanines) are usually marked as potent antioxidants or radical scavengers which assist the body cells against oxidation. Polyphenols in wine are also considered to explain so called French paradox (long life aging and low number of coronary diseases despite of high alcohol and fat consumption). The total polyphenolic content (TPC) and total antioxidant potential (TAP) were determined by photometry and found strongly correlated. This finding suggests that the determination of TAP can be replaced by a more simple procedure of TPC determination. Capillary zone electrophoresis (CZE) with preconcentration by solid phase extraction (SPE) was applied for some polyphenols determination and for obtaining electropherograms of the SPE extracts (fingerprints). From mathematical evaluation of the fingerprints, prediction of cultivars and vintage using artificial neural networks (ANN) was done with more than 90 % correct prediction. The study was performed on a set of 47 samples of young wines (vintage 1999-2002) from south Moravia (Czech Republic) and New South Wales (Australia).
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MSM 143100011, plan (intention)Name: Struktura a vazebné poměry, vlastnosti a analýza syntetických a přírodních molekulových ansamblů
Investor: Ministry of Education, Youth and Sports of the CR, Structure and character of bonding, properties and analysis of synthetic and natural molecular ensembles
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